in-context learning

COGNAC at CQs-Gen 2025: Generating Critical Questions with LLM-Assisted Prompting and Multiple RAG Variants ACL 2025 Cognate Detection for Historical Language Reconstruction of Proto-Sabean Languages: the Case of Ge’ez, Tigrinya, and Amharic COLING 2025 CogStack-KCL-UCL at ArchEHR-QA 2025: Investigating Hybrid LLM Approaches for Grounded Clinical Question Answering ACL 2025 CoinMath: Harnessing the Power of Coding Instruction for Math LLM ACL 2025 Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection AAAI 2025 Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract) AAAI 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 COMET-poly: Machine Translation Metric Grounded in Other Candidates EMNLP 2025 CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation CVPR 2025 Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract) AAAI 2025 Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance EMNLP 2025 Competition Dynamics Shape Algorithmic Phases of In-Context Learning ICLR 2025 Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation EMNLP 2025 Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs ACL 2025 Context and POS in Action: A Comparative Study of Chinese Homonym Disambiguation in Human and Language Models EMNLP 2025 ConText: Driving In-context Learning for Text Removal and Segmentation ICML 2025 Continuously Updating Digital Twins using Large Language Models ICML 2025 Controlling Language Confusion in Multilingual LLMs ACL 2025 Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection COLING 2025 Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models NAACL 2025 Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025 CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations ACL 2025 CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search NAACL 2025 Cropper: Vision-Language Model for Image Cropping through In-Context Learning CVPR 2025 Cross-Cultural Transfer of Commonsense Reasoning in LLMs: Evidence from the Arab World EMNLP 2025